[HN Gopher] Privacy Implications of Accelerometer Data [pdf]
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       Privacy Implications of Accelerometer Data [pdf]
        
       Author : gtirloni
       Score  : 38 points
       Date   : 2021-05-06 21:05 UTC (1 hours ago)
        
 (HTM) web link (dl.acm.org)
 (TXT) w3m dump (dl.acm.org)
        
       | 0x402DF854 wrote:
       | GPL-licensed Gadgetbridge for Android [1] allows syncing various
       | fitness trackers to your phone without internet connection
       | 
       | [1]: https://codeberg.org/Freeyourgadget/Gadgetbridge/
        
         | harry8 wrote:
         | User endorsement:
         | 
         | I use this with a lenovo WatchX and it works well. It is pretty
         | basic so you can join the party and hack if you feel it. WatchX
         | is very cheap. ~USD $30 on aliexpress.
         | 
         | I would not ever go near the lenovo watch android app which I
         | consider to be on par with radioactive toxic waste.
         | 
         | Using gadgetbridge & Watch X is superior to the Apple Watch &
         | ecosystem at about 1/10th the cost. Recommended.
        
       | inetknght wrote:
       | The site doesn't work without javascript and/or cookies. Irony
       | for a paper about privacy.
        
         | [deleted]
        
       | ccn0p wrote:
       | If hacker news had tags, the "anxiety" tag would be increasingly
       | active these days (prions anyone?), but I feel like this right
       | here should worry people more than it does given how many devices
       | most people carry around at all times with an over-confidence in
       | life because they use a password manager and SMS for 2FA.
        
       | ralusek wrote:
       | It's strange, I look at my Google maps histories, and it showed
       | when I traveled by car vs by motorcycle. In a state like
       | California, where lane splitting is legal, I figured they might
       | use [going faster than surrounding stopped traffic] to determine,
       | but since I've moved, it continues to indicate correctly. Only
       | way I assume they're doing this is via accelerometer.
        
         | jeffbee wrote:
         | Wow I never noticed that. I wonder how they do that. iOS
         | activity recognition only offers "automotive", and Android has
         | "IN_VEHICLE" and "TILTING". You could classify motorcycling
         | pretty easily offline with sensor data but I'm not really
         | familiar with how motion data is collected, and how often.
        
       | benrapscallion wrote:
       | Doesn't mention the most prominent one: coordinated activity
       | measured on two wrist accelerometer devices in proximity is a
       | decent-confidence indicator of sexual activity.
        
         | travisporter wrote:
         | What about basketball or run together? Unless you can get a
         | measurement of extreme proximity
        
           | angrais wrote:
           | They could also be wrestling, e.g., brothers and sisters.
           | 
           | So as with all sensing data: context is critical to
           | interpreting the data.
        
             | dv_dt wrote:
             | or sparring for boxing or martial arts, or track and field
             | heats, rowing, ...
        
         | harry8 wrote:
         | Or simultaneous zero. Both took watches off.
        
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       (page generated 2021-05-06 23:00 UTC)